Today DDN announced that The Scripps Research Institute (TSRI), one of the world’s largest independent organizations focusing on biomedical research, has deployed DDN’s end-to-end data management solutions, including high performance SFA7700X file storage automatically tiered to WOS object storage archive, to support fast analysis and cost-effective retention of research data produced by cryo-electron microscopy (Cryo-EM).
While the National Labs are known for their supercomputers, some are also tasked with helping US industry advance digital manufacturing. The 3D printed car and Jeep projects were done to demonstrate Oak Ridge’s Big Area Additive Manufacturing technology, which the lab says could bring a whole new meaning to the phrase “rapid prototyping.” A new report by a 3D printing service called Sculpteo offers some insight into who is using 3D printing. They surveyed 1,000 respondents from 19 different industry online from late January to late March 2016.
“We saw a disconnect in the industry between rapidly growing organizations that could really benefit from HPC clusters and the solutions that were on the market,” said Nor-Tech President and CEO David Bollig. “Our goal was to develop a powerful, scalable cluster that was in itself affordable, but also didn’t require hefty, recurring software licensing fees.”
In this video from ISC 2016, Greg Schmidt from Hewlett Packard Enterprise describes the new Apollo 6500 server. With up to eight high performance NVIDIA GPUs designed for maximum transfer bandwidth, the HPE Apollo 6500 is purpose-built for HPC and deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.
CoolIT Systems in New York is seeking an Enterprise Account Manager with experience in Data Center infrastructure in our Job of the Week.
In this slidecast, Alexander Lidow from EPC describes how the company is leading a technological revolution with Gallium Nitride (GaN). More efficient than silicon as a basis for electronics, GaN could save huge amounts of energy in the datacenter and has the potential to fuel the computer industry beyond Moore’s Law. “Due to its superior switching speeds and smaller footprint, Texas Instruments is working with EPC to build a simpler topology that achieves better efficiency with smaller footprints and significantly lower cost.”
Today GIGABYTE Technology and Cavium announced a new set of servers built on the industry-leading ThunderX family of workload-optimized ARM server SoCs. According to Cavium, the collaboration brings the world’s most powerful 64-bit ARM-based servers to market to address increasingly demanding application and workload requirements.
Private cloud storage enabled by BlackPearl provides the best option for balancing performance and cost; however, some customer workflows benefit greatly from incorporating a public cloud storage infrastructure,” said Matt Starr, Spectra Logic’s CTO. “Public cloud works best when a disaster recovery copy is needed; when wide data distribution is called for; to create geographic dispersion of data; and when other cloud-based features can be leveraged, such as automatic transcoding. The new Spectra hybrid storage ecosystem means that Spectra customers don’t have to choose between public and private cloud; BlackPearl brings them together seamlessly.”
In this video from PASC16, Peter Bauer from ECMWF shares his perspectives on the conference and his work with high performance computing for weather forecasting. “ECMWF specializes in global numerical weather prediction for the medium range (up to two weeks ahead). We also produce extended-range forecasts for up to a year ahead, with varying degrees of detail. We use advanced computer modeling techniques to analyze observations and predict future weather.”
The Argonne Leadership Computing Facility (ALCF) is now accepting proposals for its Aurora Early Science Program (ESP) through September 2, 2016. The program will award computing time to 10 science teams to pursue innovative research as part of pre-production testing on the facility’s next-generation system. Aurora is a massively parallel, many-core Intel-Cray supercomputer that will deliver 18 times the computational performance of Mira, ALCF’s current production system.